[Remote] Senior, ML Engineer - Localization at Torc Robotics

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry
Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry
Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation)
Strong experience developing and deploying ML models in perception, localization, or sensor fusion domains
Proficiency with PyTorch and modern ML tooling for training, inference, and optimization
Solid understanding of 3D geometry, probabilistic estimation, spatial transforms, and robotics fundamentals
Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation
Strong software engineering skills in Python or C++, with a focus on clean, maintainable, production-ready code
Excellent communication skills and the ability to collaborate in a fast-paced, cross-functional environment

Responsibilities

Design, build, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion pipelines using camera, LiDAR, and radar data
Develop high-performance training and evaluation workflows, leveraging frameworks such as PyTorch, distributed training infrastructure, and large-scale datasets
Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack, ensuring performance, stability, and real-time constraints are met
Analyze failure cases, run ablations, improve model robustness, and drive rigorous experimentation to achieve production-level reliability
Contribute to system design, code reviews, best practices, and documentation across the ML and autonomy organization

Skills

Key technologies and capabilities for this role

Machine LearningLocalizationPerceptionSensor FusionPose EstimationMap-MatchingPyTorchDistributed TrainingLiDARRadarCameraAutonomous VehiclesRobotics

Questions & Answers

Common questions about this position

What experience is required for the Senior ML Engineer role?

Candidates need a Bachelor’s degree with 6+ years or a Master’s degree with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics, or related industry.

What technical skills are needed for this position?

Required skills include experience with AV or robotics localization systems like LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation, strong experience developing and deploying ML models in perception, localization, or sensor fusion, and proficiency with PyTorch and distributed training.

What is the salary for this Senior ML Engineer position?

This information is not specified in the job description.

Is this role remote or office-based?

This information is not specified in the job description.

What is the team like for this ML Engineer role?

You'll join a multidisciplinary group of ML engineers and researchers in Autonomy, collaborating closely across ML teams and with robotics and mapping engineers to build production-grade solutions.

Torc Robotics

Develops autonomous driving technology for trucks

About Torc Robotics

Torc Robotics develops software systems for self-driving trucks, focusing on Level 4 autonomous driving technology that allows trucks to operate without human intervention in specific conditions. Their technology enhances road safety and meets the logistics industry's growing demands. Torc Robotics partners with major truck manufacturers, like Daimler Trucks, and collaborates with companies such as Luminar Technologies to integrate advanced sensors into their systems. They generate revenue by selling their software to fleet operators and truck manufacturers, while also providing ongoing support and updates. The company's goal is to improve efficiency and safety in freight transportation through their autonomous solutions.

Blacksburg, VirginiaHeadquarters

2005Year Founded

M_AND_ACompany Stage

Robotics & Automation, Automotive & TransportationIndustries

501-1,000Employees

Benefits

A competitive compensation package that includes a bonus component and stock options

100% paid medical, dental, and vision premiums for full-time employees

401K plan with a 6% employer match

Flexibility in schedule and generous paid vacation (available immediately after start date)

Company-wide holiday office closures

AD+D and Life Insurance

Risks

Increased competition from companies like Waymo and Aurora could impact market share.

Expansion into new markets involves significant operational costs and regulatory risks.

The strategic partnership with Daimler may limit alliances with other truck manufacturers.

Differentiation

Torc Robotics specializes in self-driving truck technology, focusing on Level 4 autonomy.

The company has a strategic partnership with Daimler Trucks for autonomous vehicle development.

Torc's modular products enable rapid integration of robotic systems for various applications.

Upsides

Torc is expanding operations to Texas and Michigan, enhancing market presence.

The company won the 2024 Top Software & Tech Award in the Robotics category.

Torc's focus on autonomous Class 8 trucks addresses aging workforce and rising demand.

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